Sentence examples for a simple threshold to from inspiring English sources

The signal definition for aberration detection was based on either a simple threshold to define alerts [ 15] or more complex algorithms such as the Serfling method [ 14], ARIMA models [ 19], the simple moving average method (MA), the cumulative sum method (CUSUM) [ 11, 16], or the exponentially weighted moving average (EWMA) [ 18].

The method, that will be presented in Section 2, relies on a single measure derived from the statistics of MDCT coefficients, allowing us to apply a simple threshold detector to decide whether a given MP3 file is singly compressed or it has been doubly compressed, without resorting to SVM classifiers.

We use these MS estimates and a simple threshold test to determine voice activity for each time-frequency point.

The next step, depicted in Section "Limits detection of interval relaxation phase", automatically determines the limits of main muscle activity on the left and right bound of relaxation phase with a simple threshold applied to each shape of each sub-signal from the sEMG signal.

Since the model was scanned in air using a high dose, a simple threshold was sufficient to segment out the model and build the virtual model.

Unlike phylogenetic methods there is no evolutionary model behind network construction, but a simple threshold was used to define where an edge was drawn.

By observing the GFP-RFP distribution at the end of the perturbation period and applying a simple threshold, we were able to accurately predict the fraction of cells that would return to the pre-perturbation memory state at the end of the recovery period.

From there, a simple threshold can be enough to determine if a sample is defective or not.

After obtaining the correlation coefficients for all genes, we used a simple threshold value (| r|>0.4) to select the set of cancer-related genes.

As prognostic biomarkers, these models calculate a score per sample and use a simple threshold value of 1 to dichotomize patients into prognostic groups.

The majority of the object detection algorithms working with the thermal domain adopt a simple thresholding method to build the foreground mask, assuming that a foreground object is much hotter than the background and hence appears brighter, as an "hot-spot" [105].